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Cuda Programmer Jobs (NOW HIRING)

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA

$137K - $180K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

Nvidia

OR

$122K - $161K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA

$137K - $180K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Austin, TX

$121K - $160K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...

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CUDA Programmer information

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How much do cuda programmer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for cuda programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What are the most common challenges faced by Cuda Programmers in their daily work?

Cuda Programmers often encounter challenges related to optimizing code performance and efficiently managing memory on GPU architectures. Debugging and profiling can be complex, as issues may arise from both the code and hardware-specific elements, requiring close attention to parallelization and bottlenecks. Collaboration is key, as you’ll typically work closely with software engineers, data scientists, or researchers to integrate and optimize code for specialized workflows. Successfully navigating these challenges helps drive significant performance improvements and innovation in high-performance computing applications.

What are the key skills and qualifications needed to thrive in the Cuda Programmer position, and why are they important?

To thrive as a Cuda Programmer, you need strong programming skills in C/C++ and parallel computing, with a solid understanding of GPU architectures and CUDA development. Familiarity with CUDA libraries, performance profiling tools, and platforms like NVIDIA Nsight or Visual Studio is often required, while certifications from NVIDIA can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can optimize complex algorithms, work efficiently on high-performance computing projects, and collaborate smoothly with multidisciplinary teams.

What is a CUDA Programmer job?

A CUDA Programmer develops high-performance parallel computing applications using NVIDIA's CUDA (Compute Unified Device Architecture) framework. They optimize algorithms to run efficiently on GPUs, accelerating tasks such as machine learning, scientific simulations, and real-time data processing. This role requires proficiency in C/C++, an understanding of GPU architectures, and experience with parallel computing concepts to maximize performance.

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CUDA Programmer jobs near you
Infographic showing various Cuda Programmer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 1% Part Time, 2% Temporary, 1% Contract, and 3% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Technical Marketing Engineer - CUDA-Q Developer Enablement

Technical Marketing Engineer - CUDA-Q Developer Enablement

Nvidia

Santa Clara, CA

Full-time

Posted 17 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is building the leading platform for Quantum Computing with CUDA-Q, and we need technical marketing engineers who can bring it to the developers, researchers, and AI agents who will use it. In this role, you will drive technical enablement across a broad developer ecosystem - creating content, tools, and experiences that help quantum researchers, HPC practitioners, and AI developers get hands-on with CUDA-Q. You will work at the intersection of quantum computing, accelerated computing, and AI to ensure that the people building the next generation of quantum applications have everything they need to succeed.

What you'll be doing:

  • Analyze developer journey needs with product teams and domain experts to identify and close gaps for both human and agent workflows using CUDA-Q

  • Define practical standards for developer surfaces including GitHub, docs, example code, and onboarding that work for both developers and the AI agents they use

  • CreateMCP servers, Agent Skills, API documentation patterns, agent-consumable tests, and prompt-ready templates

  • Build and maintain enablement resources - templates, runbooks, checklists, context files, and reference implementations - that quantum researchers and developers can use directly

  • Evaluate content performance using human engagement metrics and agent signals to continuously improve developer time-to-value with CUDA-Q

  • Define success criteria and evaluation frameworks for agentic developer tools - designing benchmarks, running evals, and translating results into actionable product improvements

  • Track emerging AX, GEO, and AI citation research and translate findings into practical guidance for teams building quantum computing applications

What we need to see:

  • Bachelor's degree in a technical field, or equivalent experience

  • 5+ years work of related work experience

  • Experience with documentation systems, information architecture, and content strategy for developer-facing and agent-facing technical content

  • Understanding of agent-consumable content standards such as llms.txt, MCP, Agent Skills, and API documentation patterns

  • Knowledge of quantum computing concepts and familiarity with CUDA-Q or similar quantum computing frameworks

  • Proficiency with agentic coding harnesses such as Claude Code or Codex, and the judgment to evaluate AX tooling - from MCP servers and Agent Skills to API docs and prompt templates - for different contexts

  • Strong communication and interpersonal skills, with the ability to collaborate effectively with researchers, engineers, and product teams

  • Experience designing evaluations for developer or ML products - controlled experiments, human eval pipelines, or benchmark harnesses - with clear success criteria defined upfront

  • A track record of staying ahead of fast paced technology shifts and translating findings into practical guidance before it becomes conventional wisdom

Ways to stand out from the crowd:

  • Hands-on experience with CUDA-Q or other quantum computing frameworks, and an intuition for how quantum workloads connect to the broader GPU-accelerated computing stack

  • Track record of building enablement resources - libraries, playbooks, templates - that developer teams actually use, and driving adoption across organizations

  • Contributions to open-source quantum computing, AI, or developer tooling projects

  • Experience using data and analytics to measure developer onboarding, identify friction points, and drive improvements

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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